IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v237y2021ics0925527321001237.html
   My bibliography  Save this article

The adoption of supply chain service platforms for organizational performance: Evidences from Chinese catering organizations

Author

Listed:
  • Hong, Jiangtao
  • Guo, Pengjie
  • Deng, Hepu
  • Quan, Yuting

Abstract

Supply chain service platforms (SCSP) are playing an increasingly crucial role in improving the competitiveness of organizations in the digital economy. Little, however, is known about the critical factors to the adoption of SCSP in organizations for improving their performance. Drawing upon three domain theories in technology adoption in organizations including the technology-organization-environment framework, the innovation diffusion theory, and the interorganizational relationship theory, this study proposes and validates a research model for better understanding the critical factors to the adoption of SCSP using the survey data from 228 Chinese catering organizations. The study shows that organizational resources and external pressures have a significant direct impact on SCSP adoption in organizations. It reveals that perceived platform value fully mediates the effect of external pressures and partially mediates the effect of organizational resources on SCSP adoption. Furthermore, the study finds out that there is a significant positive association between SCSP adoption and organizational performance. This study contributes to better understanding of SCSP adoption in organizations in their active pursuit of sustainable performance.

Suggested Citation

  • Hong, Jiangtao & Guo, Pengjie & Deng, Hepu & Quan, Yuting, 2021. "The adoption of supply chain service platforms for organizational performance: Evidences from Chinese catering organizations," International Journal of Production Economics, Elsevier, vol. 237(C).
    • Handle: RePEc:eee:proeco:v:237:y:2021:i:c:s0925527321001237
    DOI: 10.1016/j.ijpe.2021.108147
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527321001237
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2021.108147?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cenamor, J. & Rönnberg Sjödin, D. & Parida, V., 2017. "Adopting a platform approach in servitization: Leveraging the value of digitalization," International Journal of Production Economics, Elsevier, vol. 192(C), pages 54-65.
    2. Amrit Tiwana & Benn Konsynski & Ashley A. Bush, 2010. "Research Commentary ---Platform Evolution: Coevolution of Platform Architecture, Governance, and Environmental Dynamics," Information Systems Research, INFORMS, vol. 21(4), pages 675-687, December.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Rong, Aiying & Akkerman, Renzo & Grunow, Martin, 2011. "An optimization approach for managing fresh food quality throughout the supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 421-429, May.
    5. Chekurov, Sergei & Metsä-Kortelainen, Sini & Salmi, Mika & Roda, Irene & Jussila, Ari, 2018. "The perceived value of additively manufactured digital spare parts in industry: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 205(C), pages 87-97.
    6. Brijesh Sivathanu, 2019. "Adoption of Industrial IoT (IIoT) in Auto-Component Manufacturing SMEs in India," Information Resources Management Journal (IRMJ), IGI Global, vol. 32(2), pages 52-75, April.
    7. Michael L. Katz & Carl Shapiro, 1994. "Systems Competition and Network Effects," Journal of Economic Perspectives, American Economic Association, vol. 8(2), pages 93-115, Spring.
    8. El-Gohary, Hatem, 2012. "Factors affecting E-Marketing adoption and implementation in tourism firms: An empirical investigation of Egyptian small tourism organisations," Tourism Management, Elsevier, vol. 33(5), pages 1256-1269.
    9. James C. Anderson, 1987. "An Approach for Confirmatory Measurement and Structural Equation Modeling of Organizational Properties," Management Science, INFORMS, vol. 33(4), pages 525-541, April.
    10. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    11. Tang, Christopher S., 2010. "A review of marketing-operations interface models: From co-existence to coordination and collaboration," International Journal of Production Economics, Elsevier, vol. 125(1), pages 22-40, May.
    12. James V. Koch & Richard J. Cebula, 2002. "Price, Quality, And Service On The Internet: Sense And Nonsense," Contemporary Economic Policy, Western Economic Association International, vol. 20(1), pages 25-37, January.
    13. Lin, Hsiu-Fen, 2014. "Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 80-92.
    14. Ramkumar, M. & Schoenherr, Tobias & Wagner, Stephan M. & Jenamani, Mamata, 2019. "Q-TAM: A quality technology acceptance model for predicting organizational buyers’ continuance intentions for e-procurement services," International Journal of Production Economics, Elsevier, vol. 216(C), pages 333-348.
    15. Rui Chai & Juanqiong Gou & Guguan Shen, 2013. "Customer Evaluation Model Based on the Catering Industry’s Supply Chain Ecosystem," Springer Books, in: Zhenji Zhang & Runtong Zhang & Juliang Zhang (ed.), Liss 2012, edition 127, pages 691-700, Springer.
    16. Kurnia, Sherah & Choudrie, Jyoti & Mahbubur, Rahim Md & Alzougool, Basil, 2015. "E-commerce technology adoption: A Malaysian grocery SME retail sector study," Journal of Business Research, Elsevier, vol. 68(9), pages 1906-1918.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Duan, Sophia Xiaoxia & Tay, Richard & Molla, Alemayehu & Deng, Hepu, 2022. "Predicting Mobility as a Service (MaaS) use for different trip categories: An artificial neural network analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 135-149.
    2. He, Peng & Shang, Qi & Chen, Zhen-Song & Mardani, Abbas & Skibniewski, Miroslaw J., 2024. "Short video channel strategy for restaurants in the platform service supply chain," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    3. Damianos P. Sakas & Ioannis Dimitrios G. Kamperos & Dimitrios P. Reklitis & Nikolaos T. Giannakopoulos & Dimitrios K. Nasiopoulos & Marina C. Terzi & Nikos Kanellos, 2022. "The Effectiveness of Centralized Payment Network Advertisements on Digital Branding during the COVID-19 Crisis," Sustainability, MDPI, vol. 14(6), pages 1-23, March.
    4. Agi, Maher A.N. & Jha, Ashish Kumar, 2022. "Blockchain technology in the supply chain: An integrated theoretical perspective of organizational adoption," International Journal of Production Economics, Elsevier, vol. 247(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ramkumar, M. & Schoenherr, Tobias & Wagner, Stephan M. & Jenamani, Mamata, 2019. "Q-TAM: A quality technology acceptance model for predicting organizational buyers’ continuance intentions for e-procurement services," International Journal of Production Economics, Elsevier, vol. 216(C), pages 333-348.
    2. Hua (Jonathan) Ye, 2018. "Encouraging Innovations of Quality from User Innovators: An Empirical Study of Mobile Data Services," Service Science, INFORMS, vol. 10(4), pages 423-441, December.
    3. Marieme Chouki & Mohamed Talea & Chafik Okar & Razane Chroqui, 2020. "Barriers to Information Technology Adoption Within Small and Medium Enterprises: A Systematic Literature Review," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-42, February.
    4. Vendrell-Herrero, Ferran & Bustinza, Oscar F. & Opazo-Basaez, Marco, 2021. "Information technologies and product-service innovation: The moderating role of service R&D team structure," Journal of Business Research, Elsevier, vol. 128(C), pages 673-687.
    5. Dehghani, Milad & William Kennedy, Ryan & Mashatan, Atefeh & Rese, Alexandra & Karavidas, Dionysios, 2022. "High interest, low adoption. A mixed-method investigation into the factors influencing organisational adoption of blockchain technology," Journal of Business Research, Elsevier, vol. 149(C), pages 393-411.
    6. Hiran, Kamal Kant & Dadhich, Manish, 2024. "Predicting the core determinants of cloud-edge computing adoption (CECA) for sustainable development in the higher education institutions of Africa: A high order SEM-ANN analytical approach," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    7. Shaheer, Noman & Kim, Kijong & Li, Sali, 2022. "Internationalization of Digital Innovations: A Rapidly Evolving Research Stream," Journal of International Management, Elsevier, vol. 28(4).
    8. Arun Rai & Sandra S. Lang & Robert B. Welker, 2002. "Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis," Information Systems Research, INFORMS, vol. 13(1), pages 50-69, March.
    9. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    10. Jonathan Wareham & Paul B. Fox & Josep Lluís Cano Giner, 2014. "Technology Ecosystem Governance," Organization Science, INFORMS, vol. 25(4), pages 1195-1215, August.
    11. Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Wuest, Thorsten & Stahre, Johan, 2020. "Smart Maintenance: a research agenda for industrial maintenance management," International Journal of Production Economics, Elsevier, vol. 224(C).
    12. Mucha, Tomasz & Seppälä, Timo, 2020. "Artificial Intelligence Platforms – A New Research Agenda for Digital Platform Economy," ETLA Working Papers 76, The Research Institute of the Finnish Economy.
    13. Domina, Tanya & Lee, Seung-Eun & MacGillivray, Maureen, 2012. "Understanding factors affecting consumer intention to shop in a virtual world," Journal of Retailing and Consumer Services, Elsevier, vol. 19(6), pages 613-620.
    14. Park, Jong-Hyun & Kim, Moon-Koo & Paik, Jong-Hyun, 2015. "The Factors of Technology, Organization and Environment Influencing the Adoption and Usage of Big Data in Korean Firms," 26th European Regional ITS Conference, Madrid 2015 127173, International Telecommunications Society (ITS).
    15. Maëlle Della Peruta, 2015. "Mobile Money Adoption and Financial Inclusion Objectives: A Macroeconomic Approach through a Cluster Analysis," GREDEG Working Papers 2015-49, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    16. Gang Peng & Debabrata Dey, 2013. "Research Note ---A Dynamic View of the Impact of Network Structure on Technology Adoption: The Case of OSS Development," Information Systems Research, INFORMS, vol. 24(4), pages 1087-1099, December.
    17. Andreas Hein & Maximilian Schreieck & Tobias Riasanow & David Soto Setzke & Manuel Wiesche & Markus Böhm & Helmut Krcmar, 2020. "Digital platform ecosystems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(1), pages 87-98, March.
    18. Liu, He & Li, Xuerong & Wang, Shouyang, 2021. "A bibliometric analysis of 30 years of platform research: Developing the research agenda for platforms, the associated technologies and social impacts," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    19. Papachristos, George, 2017. "Diversity in technology competition: The link between platforms and sociotechnical transitions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 291-306.
    20. Mattila, Juri & Seppälä, Timo & Holmström, Jan, 2016. "Product-centric Information Management: A Case Study of a Shared Platform with Blockchain Technology," UCAIS Berkeley Roundtable on the International Economy, Working Paper Series qt65s5s4b2, UCAIS Berkeley Roundtable on the International Economy, UC Berkeley.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:237:y:2021:i:c:s0925527321001237. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.